scholarly journals Detection of Impaired Cerebral Autoregulation Using Selected Correlation Analysis: A Validation Study

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Martin A. Proescholdt ◽  
Rupert Faltermeier ◽  
Sylvia Bele ◽  
Alexander Brawanski
Keyword(s):  
Correlation Analysis ◽  
Cerebral Autoregulation ◽  
Neurological Diseases ◽  
Simultaneous Detection ◽  
Monitoring Data ◽  
Reactivity Index ◽  
Analysis Tool ◽  
Mathematical Tool ◽  
Tool Set ◽  
Brain Monitoring

Multimodal brain monitoring has been utilized to optimize treatment of patients with critical neurological diseases. However, the amount of data requires an integrative tool set to unmask pathological events in a timely fashion. Recently we have introduced a mathematical model allowing the simulation of pathophysiological conditions such as reduced intracranial compliance and impaired autoregulation. Utilizing a mathematical tool set called selected correlation analysis (sca), correlation patterns, which indicate impaired autoregulation, can be detected in patient data sets (scp). In this study we compared the results of the sca with the pressure reactivity index (PRx), an established marker for impaired autoregulation. Mean PRx values were significantly higher in time segments identified as scp compared to segments showing no selected correlations (nsc). The sca based approach predicted cerebral autoregulation failure with a sensitivity of 78.8% and a specificity of 62.6%. Autoregulation failure, as detected by the results of both analysis methods, was significantly correlated with poor outcome. Sca of brain monitoring data detects impaired autoregulation with high sensitivity and sufficient specificity. Since the sca approach allows the simultaneous detection of both major pathological conditions, disturbed autoregulation and reduced compliance, it may become a useful analysis tool for brain multimodal monitoring data.

scholarly journals Parameter Optimization for Selected Correlation Analysis of Intracranial Pathophysiology

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rupert Faltermeier ◽  
Martin A. Proescholdt ◽  
Sylvia Bele ◽  
Alexander Brawanski
Keyword(s):  
Correlation Analysis ◽  
Cerebral Autoregulation ◽  
High Sensitivity ◽  
Mathematical Tool ◽  
Time Resolved ◽  
Arterial Blood ◽  
Severe Impairment ◽  
Windowing Technique ◽  
Tool Set ◽  
Real Time Application

Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation and intracranial compliance, as predicted by a mathematical model. The time resolved selected correlation analysis is based on a windowing technique combined with Fourier-based coherence calculations and therefore depends on several parameters. For real time application of this method at an ICU it is inevitable to adjust this mathematical tool for high sensitivity and distinct reliability. In this study, we will introduce a method to optimize the parameters of the selected correlation analysis by correlating an index, called selected correlation positive (SCP), with the outcome of the patients represented by the Glasgow Outcome Scale (GOS). For that purpose, the data of twenty-five patients were used to calculate the SCP value for each patient and multitude of feasible parameter sets of the selected correlation analysis. It could be shown that an optimized set of parameters is able to improve the sensitivity of the method by a factor greater than four in comparison to our first analyses.

Knowledge-guided consistent correlation analysis of multimode landslide monitoring data

2017 ◽  
Vol 31 (11) ◽  
pp. 2255-2271
Author(s):  
Shuangxi Miao ◽  
Qing Zhu ◽  
Bo Zhang ◽  
Yuling Ding ◽  
Junxiao Zhang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Monitoring Data ◽  
Landslide Monitoring

scholarly journals Stacks: an analysis tool set for population genomics

2013 ◽  
Vol 22 (11) ◽  
pp. 3124-3140 ◽  
Author(s):  
Julian Catchen ◽  
Paul A. Hohenlohe ◽  
Susan Bassham ◽  
Angel Amores ◽  
William A. Cresko
Keyword(s):  
Population Genomics ◽  
Analysis Tool ◽  
Tool Set

The Vampir Performance Analysis Tool-Set

2008 ◽  
pp. 139-155 ◽  
Author(s):  
Andreas Knüpfer ◽  
Holger Brunst ◽  
Jens Doleschal ◽  
Matthias Jurenz ◽  
Matthias Lieber ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Analysis Tool ◽  
Tool Set

scholarly journals Landscape Quality Valuation for its Preservation and Treasuring

2014 ◽  
Vol 11 ◽  
pp. 625-633 ◽  
Author(s):  
Domenico Enrico Massimo ◽  
Mariangela Musolino ◽  
Antonino Barbalace ◽  
Cinzia Fragomeni
Keyword(s):  
Analysis Tool ◽  
Quality Of Life Research ◽  
Team Research ◽  
Gis Tools ◽  
Landscape Integrity ◽  
New Construction ◽  
Tool Set ◽  
Set Up ◽  
Landscape Units

Pollution, environmental disruption, oversized urban development and infrastructure new construction jeopardize landscape integrity and peoples quality of life. Research deals with the landscape protection and enhancement providing governments and decision makers with a comprehensive Decision Support System to assess the quality of natural and cultural heritage and address planning measures and policy actions for landscape treasuring. Research set-up a sound methodology relying upon GIS tools, to spatially detect and define landscape units along with their endowment such as natural, ecological, historic, cultural, and urban resources then valuated with a GIS integrated multi criteria analysis tool set-up by the research team. Research developed a Case Study in the European Mediterranean Basin, validating the whole system and the performance and support of the GIS tools. Results achieved open the possibility to generalize the prototype application at regional, country and federation levels and therefore support the planning implementation for landscape enhancement.

Cerebral Autoregulation and Outcome in Acute Brain Injury

2001 ◽  
Vol 2 (3) ◽  
pp. 175-185 ◽  
Author(s):  
Catherine J. Kirkness ◽  
Pamela H. Mitchell ◽  
Robert L. Burr ◽  
David W. Newell
Keyword(s):  
Blood Pressure ◽  
Brain Injury ◽  
Cerebral Autoregulation ◽  
Acute Brain Injury ◽  
Reactivity Index ◽  
Cerebrovascular Pathology ◽  
Arterial Blood ◽  
Score Analysis ◽  
Pressure Changes ◽  
The Relationship

The purpose of this study was to examine the relationship between Czosnyka and others’ Pressure Reactivity Index (PRx) and neurologic outcome in patients with acute brain injury, including traumatic brain injury (TBI) and cerebrovascular pathology. PRx measures the correlation between arterial blood pressure and intracranial pressure waves and may reflect cerebral autoregulation in response to blood pressure changes. A negative PRx reflects intact cerebrovascular response, whereas a positive PRx reflects impaired response. Positive PRx has been shown to correlate with poorer outcome in individuals with TBI, but these findings have not been confirmed by replication in other studies, nor have PRx values been reported for individuals with cerebrovascular pathology. In this study, PRx was determined in 52 patients with TBI (n = 27) or cerebrovascular pathology (n = 25). Hierarchical linear regression was used to evaluate the contribution of PRx to outcome, controlling for age and Glasgow Coma Scale score. Analysis of all subjects together did not support the previously reported relationship between PRx and outcome. However, for those with TBI, positive PRx was a significant predictor of negative outcome (P = 0.03). For those with cerebrovascular pathology, the effect was not significant (P = 0.10) and was in the opposite direction. For individuals with TBI, PRx may provide useful information related to cerebral autoregulation that is predictive of outcome. The meaning of PRx in individuals with cerebrovascular pathology is unclear, and further study is needed to examine the paradoxical findings observed.

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